mixSPE: Mixtures of Power Exponential and Skew Power Exponential Distributions for Use in Model-Based Clustering and Classification

Mixtures of skewed and elliptical distributions are implemented using mixtures of multivariate skew power exponential and power exponential distributions, respectively. A generalized expectation-maximization framework is used for parameter estimation. Methodology for mixtures of power exponential distributions is from Dang et al. (2015) <doi:10.1111/biom.12351>.

Version:	0.9.1
Imports:	mvtnorm
Suggests:	testthat
Published:	2021-01-25
Author:	Ryan P. Browne[aut, cre], Utkarsh J. Dang[aut, cre], Michael P. B. Gallaugher[ctb], and Paul D. McNicholas[aut]
Maintainer:	Utkarsh J. Dang <udang at binghamton.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	NEWS
In views:	Distributions
CRAN checks:	mixSPE results

Documentation:

Reference manual:

mixSPE.pdf

Downloads:

Package source:	mixSPE_0.9.1.tar.gz
Windows binaries:	r-devel: mixSPE_0.9.1.zip, r-release: mixSPE_0.9.1.zip, r-oldrel: mixSPE_0.9.1.zip
macOS binaries:	r-release (arm64): mixSPE_0.9.1.tgz, r-oldrel (arm64): mixSPE_0.9.1.tgz, r-release (x86_64): mixSPE_0.9.1.tgz, r-oldrel (x86_64): mixSPE_0.9.1.tgz
Old sources:	mixSPE archive

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